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An Analysis of Response Pattern and Panel Attrition in KLIPS(Korean Labor and Income Panel Study)

  • Nam, Ki-Seong (Center for Employment Survey and Analysis, Korea Employment Information Service) ;
  • Chun, Young-Min (Center for Employment Survey and Analysis, Korea Employment Information Service)
  • 투고 : 2012.07.16
  • 심사 : 2012.10.16
  • 발행 : 2012.12.31

초록

In this paper we used the KLIPS(Korean Labor and Income Panel tudy) data that surveyed from 2006(wave 9) to 2009(wave 12). Other previous studies are concerned with the panel attrition in the early wave, but this study classifies the response pattern and investigates some factors that influence panel attrition when the panel tends to stabilize. It was revealed that panel attrition was influenced by relocation and housing type through the logit model. Besides it was appeared that panel attrition was affected by the monthly living expenses and the overall household income through the decision tree.

키워드

참고문헌

  1. Chun, Y. M., Yoon, J. H. and Oh, M. H. (2009). An analysis of panel attrition in GOMS(Graduates Occupational Survey), The Korean Journal of Applied Statistics, 22, 951-993. https://doi.org/10.5351/KJAS.2009.22.5.981
  2. Demirtas, H. (2004). Modeling incomplete longitudinal data, Journal of Modern Applied Statistical methods, 3, 305-321. https://doi.org/10.22237/jmasm/1099267500
  3. Gorbein, J. A., Lazaro, G. G. and Little, R. J. A. (1992). Incomplete data in repeated measures analysis, Statistical Methods in Medical Research, 1, 275-295. https://doi.org/10.1177/096228029200100304
  4. Hogan, J. W. and Laird, N. M. (1997). Model-based approaches to analyzing incomplete longitudinal and failure-time data, Statistics in Medicine, 16, 259-272. https://doi.org/10.1002/(SICI)1097-0258(19970215)16:3<259::AID-SIM484>3.0.CO;2-S
  5. Hogan, J. W., Roy, J. and Korkontzelou, C. (2004). Handling drop-out in longitudinal studies, Statistics in Medicine, 23, 1455-1497. https://doi.org/10.1002/sim.1728
  6. Kass, G. V. (1980). An exploratory technique for investigating large quantities of data, Applied Statistics, 29, 119-127. https://doi.org/10.2307/2986296
  7. Kim, K. S., Hang, Y. E. and Park, J. W. (2005a). The study of panel survey in weighting methods and effects, In Proceedings of the 6th Korea Labor and Income Panel Conference, Korea Labor Institute.
  8. Kim, Y. W., Kim, J. K., Lee, K. J. and Jo, Y. M. (2005b). Sample of the performance and weighting correction method for KLIPS, Proceedings of the 6th Korea Labor and Income Panel Conference, Korea Labor Institute.
  9. Little, R. J. A. (1995). Modeling the drop-out mechanism in longitudinal studies, Journal of the American Statistical Association, 90, 1112-1121. https://doi.org/10.1080/01621459.1995.10476615
  10. Lee, S. H. (2005). The analysis of sample deviation for KLIPS, Monthly Labor Review, 11, 66-79.
  11. Lee, S. H., Park, C. Y., Chung, S. S. and Choi, H. M. (2011). Panel attrition factors in Korean labor and income panel study, Journal of Korea Data Information Science Society, 22, 1-8.
  12. Molenberghs, G. and Verbeke, G. (2005). Models for Discrete Longitudinal Data, Springer Series in Statistics, Springer-Verlag, New-York, 683.
  13. Oh, M. H. and Chun, Y. M. (2009). A study on imputation method for wage data in OES(Occupational Employment Statistics), Journal of the Korean Data Analysis Society, 11, 1399-1410.
  14. Seong, J. M. and Choi, H. M. (2011). Using computers to investigate how the impact of data quality - CAPI experiment KLIPS, Proceedings of the Fall Conference of the Korean Statistical Society.
  15. Son, C. K., Hong, K. H. and Lee, G. S. (2011). Nonresponse pattern analysis from follow-up survey - Focus on smoking status survey-, Journal of the Korean Data Analysis Society, 13, 2977-2985.
  16. Son, C. K. and Shin, J. D. (2009). The study on missing patterns of low-income households for Korea welfare panel study, The 2nd Korea Welfare Panel Conference, The Korea Institute for Health and Social Affairs.